Genetic Algorithm for Late Work Minimization in a Flow Shop System
نویسندگان
چکیده
The work concerns a genetic algorithm for the flow shop scheduling problem with release times and the late work criterion, which is NP-hard. The proposed meta-heuristic method minimizes the number of units of job processing times executed after their given due dates. We describe the components of this approach and present the analysis of test results. Computational experiments, preceded by an extensive tuning process, were performed for different classes of problem instances in terms of the distribution of release times and due dates over time.
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تاریخ انتشار 2008